senior specialist, data science

Randstad Staffing; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Randstad Staffing is seeking a data analytics professional in Hyderabad to assist with data acquisition, processing, and cleaning from multiple sources. You will build and refine dashboards and reports, performing complex analyses using statistics and ML methods, and contribute to scalable data pipelines.

The role emphasizes presenting insights to stakeholders and supporting data-driven decision making. The position requires collaboration to advance data quality, automate pipelines, and stay

Qualifications

• Assists with acquisition, processing, integration, and cleaning of complex data from multiple sources.
• Builds and refines complex data dashboards and reports using a variety of tools to automate data collection.
• Performs complex data investigations and analyses using advanced statistics or machine learning methods.
• Contributes to development of data science and ML processing pipelines for continuous data updates.
• Cultivates internal relationships by presenting complex data insights with visual aids.

Responsibilities

• Assist in data acquisition, cleaning, and integration from multiple sources to improve data quality.
• Develop and refine dashboards and reports for stakeholders.
• Conduct data investigations to identify trends and variances supporting strategic initiatives.
• Develop and monitor ML/DS pipelines for timely data updates and validation.
• Present data insights using charts and visuals to inform decisions.

Skills

Unsupervised Learning

Supervised Learning

SQL Databases

Consulting

AIML

Job description

Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work.

We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change.

At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally.

We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust.

• Assists with the acquisition, processing, integration, and cleaning of complex data from multiple sources, enhancing the organization's ability to make strategic decisions through improved data quality and accessibility

• Handles complex datasets and scenarios with increased autonomy. Will use programming or software development tools/processes to further process, clean, and prepare datasets in a manner that requires advanced statistics, machine learning-based, or other methods (i.e,. taxonomies, spell correction, location normalization, anomaly detection, hypothesis testing, etc). Assists in building and refining complex data dashboards and reports, using a variety of tools to automate data collection and generate sophisticated reports. Contributes significantly to the development and efficiency of analytical processes, ensuring complex data insights are effectively presented to stakeholders

• Performs complex data investigations and performs analysis, identifying trends and variances that support the organization’s strategic initiatives. Uses advanced statistics, machine learning-based, or other methods to support this work. This includes managing data mining, validation, and reconciliation tasks to ensure accuracy and consistency in data reports. Processes developed will be scalable to be used in a standardized manner for multiple uses

• Contributes to the development of data science, and machine learning processing pipelines to ensure that data is continuously updated and maintained for use by stakeholders. Continuous monitoring and testing is performed to ensure proper functionality. Automation is expected to be performed for both the data pipeline development and validation]

• Cultivates internal relationships by facilitating the presentation of complex data insights and developing advanced visual aids such as charts and graphs, which illustrate business, operations, customer and economic performance trends and support decision-making processes

• Continuously develops and shares knowledge of emerging trends and changes in data analytics, supporting and promoting change management and departmental initiatives within assigned areas of responsibility. Assists in the proactive identification of complex data-driven insights that can significantly improve customer experiences

• Contributes to the development of data science, and machine learning processing pipelines to ensure that data is continuously updated and maintained for use by stakeholders. Continuous monitoring and testing is performed to ensure proper functionality. Performs automation both the data pipeline development as well as validation

Grade Descriptor

• Requires working knowledge of own discipline and a basic understanding of concepts and procedures in related disciplines

• Demonstrates knowledge of the company, processes and customers

• Performs a range of assignments related to discipline

• Uses prescribed guidelines or policies in analyzing situations and resolving problems to deliver continuous business results

• Receives a moderate level of guidance and direction; may provide informal guidance to new team members

• Impacts quality and effectiveness of own team and may impact other closely related work teams whose activities are interdependent

• Explains factual, sometimes complex and potentially dynamic information to others in straightforward situations.

skills

• Unsupervised Learning
• Supervised Learning
• SQL Databases
• Consulting
• Artificial Intelligence Markup Language (AIML)